Content-based video sequence interpretation

Author

Fong, A.C.M. ; Hui, S.C. ; Leung, M.K.H.

Author_Institution

Inst. of Inf. & Math. Sci., Massey Univ., Palmerston North, New Zealand

Volume

47

Issue

4

fYear

2001

fDate

11/1/2001 12:00:00 AM

Firstpage

873

Lastpage

879

Abstract

Video sequence interpretation attempts to make sense of events that occur when they have been captured on video. When such scenario understanding can be employed in real-time or near-instantaneously, it can be applied to situations where constant watch would otherwise be needed. The potential for consumer applications is wide-ranging. Examples include safety monitoring of unattended elderly persons, children, pets and security surveillance. In this paper, we present a content-based video sequence interpretation algorithm for confined or semi-confined spaces. The algorithm comprises spatio-temporal video object (VO) segmentation, feature extraction, and scene analysis. Application of the proposed algorithm is illustrated in the context of security monitoring. Our system activates an alarm to alert the user of a suspicious event virtually instantaneously

Keywords

feature extraction; image recognition; image segmentation; image sequences; monitoring; surveillance; video signal processing; alarm; children; confined spaces; consumer applications; content-based video sequence interpretation algorithm; feature extraction; pets; safety monitoring; scene analysis; security monitoring; security surveillance; semi-confined spaces; spatio-temporal video object segmentation; unattended elderly persons; Feature extraction; Image analysis; Monitoring; Positron emission tomography; Safety; Security; Senior citizens; Surveillance; Video sequences; Watches;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.982802

Filename

982802